On the weighting of the mean-absolute-deviation cost minimization model

Shuaian Wang, Q. Meng, Z. Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

The mean-absolute-deviation cost minimization model, which aims to minimize sum of the mean value and the absolute deviation (AD) of the total cost multiplied by a given non-negative weighting, is one of a number of typical robust optimization models. This paper first uses a straightforward example to show that the solution obtained by this model with some weightings is not actually an optimal decision. This example also illustrates that the mean-absolute-deviation cost minimization model cannot be regarded as the conventional weighted transformation of the relevant multiobjective minimization model aiming to simultaneously minimize the mean value and AD. This paper further proves that the optimal solution obtained by the mean-absolute-deviation cost minimization model with the weighting not exceeding 0.5 will not be absolutely dominated by any other solution. This tight upper bound provides a useful guideline for practical applications.
Original languageEnglish
Pages (from-to)622-628
Number of pages7
JournalJournal of the Operational Research Society
Volume64
Issue number4
DOIs
Publication statusPublished - 1 Apr 2013
Externally publishedYes

Keywords

  • mean-absolute-deviation
  • multiobjective
  • optimization

ASJC Scopus subject areas

  • Management Information Systems
  • Strategy and Management
  • Management Science and Operations Research
  • Marketing

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